{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true,
    "ExecuteTime": {
     "end_time": "2024-07-11T08:40:18.738446Z",
     "start_time": "2024-07-11T08:40:18.681431600Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "from matplotlib import font_manager\n",
    "\n",
    "# 传入x和y,通过plot画图\n",
    "plt.plot([1, 0, 9], [4, 5, 6])\n",
    "# 再执行程序的时候展示图形\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = range(1, 8)\n",
    "y = [17, 17, 18, 15, 11, 11, 13]\n",
    "# 传入x和y,通过plot画折线图\n",
    "plt.plot(x, [z - 1 for z in y])  # x可以是迭代器，生成器，列表，元组，数组\n",
    "plt.plot(x, y, color='red', alpha=0.5, linestyle='-.', linewidth=2.0)\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-07-11T08:55:39.580977300Z",
     "start_time": "2024-07-11T08:55:39.523739200Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = range(1, 8)\n",
    "y = [17, 17, 18, 15, 11, 11, 13]\n",
    "# 传入x和y,通过plot画折线图\n",
    "plt.plot(x, y, marker='o')\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-07-11T08:58:39.663699100Z",
     "start_time": "2024-07-11T08:58:39.614045Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1600x640 with 1 Axes>",
      "image/png": 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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import random\n",
    "\n",
    "x = range(2, 26, 2)  # x轴的位置\n",
    "y = [random.randint(15, 30) for i in x]\n",
    "# 设置图片的大小\n",
    "'''\n",
    "figsize:指定figure的宽和高，单位为英寸；\n",
    "dpi参数指定绘图对象的分辨率，即每英寸多少个像素，缺省值为80，1英寸等于2.5cm,A4纸是 21*30cm的纸张'''\n",
    "# 设置画布对象，figsize中对应的单位是英寸，dpi是每英寸有多少像素点\n",
    "plt.figure(figsize=(20, 8), dpi=80)\n",
    "plt.plot(x, y)  # 传入x和y, 通过plot画图\n",
    "#plt.show()\n",
    "# 保存(注意： 要放在绘制的下面,并且plt.show()会释放figure资源，如果在显示图像之后保存图片将只能保存空图片。)\n",
    "plt.savefig('./t1.png')\n",
    "# 图片的格式也可以保存为svg这种矢量图格式，这种矢量图放在网页中放大后不会有锯齿\n",
    "# plt.savefig('./t1.svg')"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-07-11T09:04:53.557305500Z",
     "start_time": "2024-07-11T09:04:53.443101300Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1600x640 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = range(2, 26, 2)  # x轴的位置\n",
    "y = [random.randint(15, 30) for i in x]\n",
    "plt.figure(figsize=(20, 8), dpi=80)\n",
    "# 设置x轴的刻度\n",
    "# plt.xticks(x)\n",
    "# plt.xticks(range(1,25))\n",
    "# 设置y轴的刻度\n",
    "# plt.yticks(y)\n",
    "# plt.yticks(range(min(y),max(y)+1))\n",
    "# 构造x轴刻度标签\n",
    "x_ticks_label = [\"{}:00\".format(i) for i in x]\n",
    "#rotation = 45 让字旋转45度\n",
    "plt.xticks(x, x_ticks_label, rotation=45)\n",
    "# 设置y轴的刻度标签\n",
    "y_ticks_label = [\"{}℃\".format(i) for i in range(min(y), max(y) + 1)]\n",
    "plt.yticks(range(min(y), max(y) + 1), y_ticks_label)\n",
    "# 绘 图\n",
    "plt.plot(x, y)\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-07-11T12:20:54.515750500Z",
     "start_time": "2024-07-11T12:20:54.445893100Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1600x640 with 1 Axes>",
      "image/png": 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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import font_manager\n",
    "\n",
    "my_font = font_manager.FontProperties(fname='C:\\\\Windows\\\\Fonts\\\\STSONG.TTF', size=18)\n",
    "x = range(0, 120)\n",
    "y = [random.randint(10, 30) for i in range(120)]\n",
    "plt.figure(figsize=(20, 8), dpi=80)\n",
    "plt.xlabel('时间', rotation=45, fontproperties=my_font)\n",
    "plt.ylabel('次数', rotation=45, fontproperties=my_font)\n",
    "plt.title('每分钟跳动次数', color='red', fontproperties=my_font)\n",
    "plt.plot(x, y)\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-07-11T12:23:01.466960500Z",
     "start_time": "2024-07-11T12:23:01.324732500Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1600x640 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 7.7 一图多线\n",
    "y1 = [1, 0, 1, 1, 2, 4, 3, 4, 4, 5, 6, 5, 4, 3, 3, 1, 1, 1, 1, 1]\n",
    "y2 = [1, 0, 3, 1, 2, 2, 3, 4, 3, 2, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1]\n",
    "x = range(11, 31)  # # 设置图形\n",
    "plt.figure(figsize=(20, 8), dpi=80)\n",
    "''' 添加图例:label 对线的解释，然后用 plt.legend 添加到图片上;\n",
    "添加颜色: color='red' 线条风格： linestyle='-'; - 实线 、 -- 虚线，破折线、-. 点划线、: 点虚线，虚线、''留空或空格线条粗细： linewidth = 5\n",
    "透明度： alpha=0.5\n",
    "'''\n",
    "plt.plot(x, y1, color='red', label='自己')\n",
    "plt.plot(x, y2, color='blue', label='同事')\n",
    "# 设置 x 轴刻度\n",
    "xtick_labels = ['{}岁'.format(i) for i in x]\n",
    "my_font = font_manager.FontProperties(fname='C:\\\\Windows\\\\Fonts\\\\STSONG.TTF', size=18)\n",
    "plt.xticks(x, xtick_labels, fontproperties=my_font, rotation=45)\n",
    "# 绘制网格（网格也是可以设置线的样式)\n",
    "# alpha=0.4 设置透明度\n",
    "plt.grid(alpha=0.4)\n",
    "# 添加图例(注意：只有在这里需要添加 prop 参数是显示中文，其他的都用fontproperties)#设置位置 loc : upper left、 lower left、 center left、 upper center\n",
    "plt.legend(prop=my_font, loc='best')\n",
    "# 展示\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-07-11T12:37:57.790160300Z",
     "start_time": "2024-07-11T12:37:57.646280Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 4 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 1600x800 with 0 Axes>"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 7.8拓展(一图多个坐标系子图)\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "x = np.arange(1, 100)  #划分子图\n",
    "fig, axes = plt.subplots(2, 2)\n",
    "ax1 = axes[0, 0]\n",
    "ax2 = axes[0, 1]\n",
    "ax3 = axes[1, 0]\n",
    "ax4 = axes[1, 1]\n",
    "fig = plt.figure(figsize=(20, 10), dpi=80)  #作图 1\n",
    "ax1.plot(x, x)  # 作 图 2\n",
    "ax2.plot(x, -x)  #作图 3\n",
    "ax3.plot(x, x ** 2)\n",
    "# ax3.grid(color='r', linestyle='--', linewidth=1,alpha=0.3) #作图4\n",
    "ax4.plot(x, np.log(x))\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-07-11T12:40:26.558379800Z",
     "start_time": "2024-07-11T12:40:26.407826500Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1600x640 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 8绘制散点图\n",
    "from matplotlib import pyplot as plt\n",
    "from matplotlib import font_manager\n",
    "\n",
    "y = [11, 17, 16, 11, 12, 11, 12, 6, 6, 7, 8, 9, 12, 15, 14, 17, 18, 21, 16, 17, 20, 14, 15, 15, 15, 19, 21, 22, 22, 22,\n",
    "     23]\n",
    "x = range(1, 32)\n",
    "# 设置图形大小\n",
    "plt.figure(figsize=(20, 8), dpi=80)\n",
    "# 使用 scatter 绘制散点图\n",
    "plt.scatter(x, y, label='3 月份')\n",
    "# 调整 x 轴的刻度\n",
    "my_font = font_manager.FontProperties(fname='C:\\\\Windows\\\\Fonts\\\\STSONG.TTF', size=10)\n",
    "_xticks_labels = ['3 月{}日'.format(i) for i in x]\n",
    "plt.xticks(x[::3], _xticks_labels[::3], fontproperties=my_font, rotation=45)\n",
    "plt.xlabel(' 日 期 ', fontproperties=my_font)\n",
    "plt.ylabel('温度', fontproperties=my_font)\n",
    "# 图 例\n",
    "plt.legend(prop=my_font)\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-07-11T12:47:45.019332600Z",
     "start_time": "2024-07-11T12:47:44.942156700Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1600x640 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_font = font_manager.FontProperties(fname='C:\\\\Windows\\\\Fonts\\\\STSONG.TTF', size=16)\n",
    "a = ['流浪地球', '疯狂的外星人', '飞驰人生', '大黄蜂', '熊出没·原始时代', '新喜剧之王']\n",
    "b = [38.13, 19.85, 14.89, 11.36, 6.47, 5.93]\n",
    "plt.figure(figsize=(20, 8), dpi=80)\n",
    "# 绘制条形图的方法\n",
    "'''\n",
    "width=0.3 条形的宽度\n",
    "'''\n",
    "rects = plt.bar(range(len(a)), b, width=0.3, color='r')\n",
    "plt.xticks(range(len(a)), a, fontproperties=my_font, rotation=45)\n",
    "# 在条形图上加标注(水平居中)\n",
    "for rect in rects:\n",
    "    height = rect.get_height()\n",
    "    plt.text(rect.get_x() + rect.get_width() / 2, height + 0.4, str(height), ha=\"center\", va=\"bottom\")\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-07-11T13:06:07.323877Z",
     "start_time": "2024-07-11T13:06:07.190820100Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "outputs": [
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m",
      "\u001B[1;31mKeyboardInterrupt\u001B[0m                         Traceback (most recent call last)",
      "Cell \u001B[1;32mIn[49], line 28\u001B[0m\n\u001B[0;32m     26\u001B[0m plt\u001B[38;5;241m.\u001B[39mylabel(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m电影的数据量\u001B[39m\u001B[38;5;124m\"\u001B[39m,fontproperties\u001B[38;5;241m=\u001B[39mmy_font)\n\u001B[0;32m     27\u001B[0m \u001B[38;5;66;03m# 4）显示图像\u001B[39;00m\n\u001B[1;32m---> 28\u001B[0m \u001B[43mplt\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mshow\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\n",
      "File \u001B[1;32mD:\\python\\Lib\\site-packages\\matplotlib\\pyplot.py:612\u001B[0m, in \u001B[0;36mshow\u001B[1;34m(*args, **kwargs)\u001B[0m\n\u001B[0;32m    568\u001B[0m \u001B[38;5;250m\u001B[39m\u001B[38;5;124;03m\"\"\"\u001B[39;00m\n\u001B[0;32m    569\u001B[0m \u001B[38;5;124;03mDisplay all open figures.\u001B[39;00m\n\u001B[0;32m    570\u001B[0m \n\u001B[1;32m   (...)\u001B[0m\n\u001B[0;32m    609\u001B[0m \u001B[38;5;124;03mexplicitly there.\u001B[39;00m\n\u001B[0;32m    610\u001B[0m \u001B[38;5;124;03m\"\"\"\u001B[39;00m\n\u001B[0;32m    611\u001B[0m _warn_if_gui_out_of_main_thread()\n\u001B[1;32m--> 612\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43m_get_backend_mod\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mshow\u001B[49m\u001B[43m(\u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43margs\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n",
      "File \u001B[1;32mD:\\python\\Lib\\site-packages\\matplotlib_inline\\backend_inline.py:90\u001B[0m, in \u001B[0;36mshow\u001B[1;34m(close, block)\u001B[0m\n\u001B[0;32m     88\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[0;32m     89\u001B[0m     \u001B[38;5;28;01mfor\u001B[39;00m figure_manager \u001B[38;5;129;01min\u001B[39;00m Gcf\u001B[38;5;241m.\u001B[39mget_all_fig_managers():\n\u001B[1;32m---> 90\u001B[0m         \u001B[43mdisplay\u001B[49m\u001B[43m(\u001B[49m\n\u001B[0;32m     91\u001B[0m \u001B[43m            \u001B[49m\u001B[43mfigure_manager\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mcanvas\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mfigure\u001B[49m\u001B[43m,\u001B[49m\n\u001B[0;32m     92\u001B[0m \u001B[43m            \u001B[49m\u001B[43mmetadata\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43m_fetch_figure_metadata\u001B[49m\u001B[43m(\u001B[49m\u001B[43mfigure_manager\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mcanvas\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mfigure\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m     93\u001B[0m \u001B[43m        \u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m     94\u001B[0m \u001B[38;5;28;01mfinally\u001B[39;00m:\n\u001B[0;32m     95\u001B[0m     show\u001B[38;5;241m.\u001B[39m_to_draw \u001B[38;5;241m=\u001B[39m []\n",
      "File \u001B[1;32mD:\\python\\Lib\\site-packages\\IPython\\core\\display_functions.py:298\u001B[0m, in \u001B[0;36mdisplay\u001B[1;34m(include, exclude, metadata, transient, display_id, raw, clear, *objs, **kwargs)\u001B[0m\n\u001B[0;32m    296\u001B[0m     publish_display_data(data\u001B[38;5;241m=\u001B[39mobj, metadata\u001B[38;5;241m=\u001B[39mmetadata, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mkwargs)\n\u001B[0;32m    297\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[1;32m--> 298\u001B[0m     format_dict, md_dict \u001B[38;5;241m=\u001B[39m \u001B[38;5;28;43mformat\u001B[39;49m\u001B[43m(\u001B[49m\u001B[43mobj\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43minclude\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43minclude\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mexclude\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mexclude\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m    299\u001B[0m     \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m format_dict:\n\u001B[0;32m    300\u001B[0m         \u001B[38;5;66;03m# nothing to display (e.g. _ipython_display_ took over)\u001B[39;00m\n\u001B[0;32m    301\u001B[0m         \u001B[38;5;28;01mcontinue\u001B[39;00m\n",
      "File \u001B[1;32mD:\\python\\Lib\\site-packages\\IPython\\core\\formatters.py:182\u001B[0m, in \u001B[0;36mDisplayFormatter.format\u001B[1;34m(self, obj, include, exclude)\u001B[0m\n\u001B[0;32m    180\u001B[0m md \u001B[38;5;241m=\u001B[39m \u001B[38;5;28;01mNone\u001B[39;00m\n\u001B[0;32m    181\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[1;32m--> 182\u001B[0m     data \u001B[38;5;241m=\u001B[39m \u001B[43mformatter\u001B[49m\u001B[43m(\u001B[49m\u001B[43mobj\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m    183\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m:\n\u001B[0;32m    184\u001B[0m     \u001B[38;5;66;03m# FIXME: log the exception\u001B[39;00m\n\u001B[0;32m    185\u001B[0m     \u001B[38;5;28;01mraise\u001B[39;00m\n",
      "File \u001B[1;32mD:\\python\\Lib\\site-packages\\decorator.py:232\u001B[0m, in \u001B[0;36mdecorate.<locals>.fun\u001B[1;34m(*args, **kw)\u001B[0m\n\u001B[0;32m    230\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m kwsyntax:\n\u001B[0;32m    231\u001B[0m     args, kw \u001B[38;5;241m=\u001B[39m fix(args, kw, sig)\n\u001B[1;32m--> 232\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mcaller\u001B[49m\u001B[43m(\u001B[49m\u001B[43mfunc\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43m(\u001B[49m\u001B[43mextras\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m+\u001B[39;49m\u001B[43m \u001B[49m\u001B[43margs\u001B[49m\u001B[43m)\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43mkw\u001B[49m\u001B[43m)\u001B[49m\n",
      "File \u001B[1;32mD:\\python\\Lib\\site-packages\\IPython\\core\\formatters.py:226\u001B[0m, in \u001B[0;36mcatch_format_error\u001B[1;34m(method, self, *args, **kwargs)\u001B[0m\n\u001B[0;32m    224\u001B[0m \u001B[38;5;250m\u001B[39m\u001B[38;5;124;03m\"\"\"show traceback on failed format call\"\"\"\u001B[39;00m\n\u001B[0;32m    225\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[1;32m--> 226\u001B[0m     r \u001B[38;5;241m=\u001B[39m \u001B[43mmethod\u001B[49m\u001B[43m(\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43margs\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m    227\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mNotImplementedError\u001B[39;00m:\n\u001B[0;32m    228\u001B[0m     \u001B[38;5;66;03m# don't warn on NotImplementedErrors\u001B[39;00m\n\u001B[0;32m    229\u001B[0m     \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_check_return(\u001B[38;5;28;01mNone\u001B[39;00m, args[\u001B[38;5;241m0\u001B[39m])\n",
      "File \u001B[1;32mD:\\python\\Lib\\site-packages\\IPython\\core\\formatters.py:343\u001B[0m, in \u001B[0;36mBaseFormatter.__call__\u001B[1;34m(self, obj)\u001B[0m\n\u001B[0;32m    341\u001B[0m     \u001B[38;5;28;01mpass\u001B[39;00m\n\u001B[0;32m    342\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[1;32m--> 343\u001B[0m     \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mprinter\u001B[49m\u001B[43m(\u001B[49m\u001B[43mobj\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m    344\u001B[0m \u001B[38;5;66;03m# Finally look for special method names\u001B[39;00m\n\u001B[0;32m    345\u001B[0m method \u001B[38;5;241m=\u001B[39m get_real_method(obj, \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mprint_method)\n",
      "File \u001B[1;32mD:\\python\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170\u001B[0m, in \u001B[0;36mprint_figure\u001B[1;34m(fig, fmt, bbox_inches, base64, **kwargs)\u001B[0m\n\u001B[0;32m    167\u001B[0m     \u001B[38;5;28;01mfrom\u001B[39;00m \u001B[38;5;21;01mmatplotlib\u001B[39;00m\u001B[38;5;21;01m.\u001B[39;00m\u001B[38;5;21;01mbackend_bases\u001B[39;00m \u001B[38;5;28;01mimport\u001B[39;00m FigureCanvasBase\n\u001B[0;32m    168\u001B[0m     FigureCanvasBase(fig)\n\u001B[1;32m--> 170\u001B[0m \u001B[43mfig\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mcanvas\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mprint_figure\u001B[49m\u001B[43m(\u001B[49m\u001B[43mbytes_io\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43mkw\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m    171\u001B[0m data \u001B[38;5;241m=\u001B[39m bytes_io\u001B[38;5;241m.\u001B[39mgetvalue()\n\u001B[0;32m    172\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m fmt \u001B[38;5;241m==\u001B[39m \u001B[38;5;124m'\u001B[39m\u001B[38;5;124msvg\u001B[39m\u001B[38;5;124m'\u001B[39m:\n",
      "File \u001B[1;32mD:\\python\\Lib\\site-packages\\matplotlib\\backend_bases.py:2204\u001B[0m, in \u001B[0;36mFigureCanvasBase.print_figure\u001B[1;34m(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, pad_inches, bbox_extra_artists, backend, **kwargs)\u001B[0m\n\u001B[0;32m   2200\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[0;32m   2201\u001B[0m     \u001B[38;5;66;03m# _get_renderer may change the figure dpi (as vector formats\u001B[39;00m\n\u001B[0;32m   2202\u001B[0m     \u001B[38;5;66;03m# force the figure dpi to 72), so we need to set it again here.\u001B[39;00m\n\u001B[0;32m   2203\u001B[0m     \u001B[38;5;28;01mwith\u001B[39;00m cbook\u001B[38;5;241m.\u001B[39m_setattr_cm(\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mfigure, dpi\u001B[38;5;241m=\u001B[39mdpi):\n\u001B[1;32m-> 2204\u001B[0m         result \u001B[38;5;241m=\u001B[39m \u001B[43mprint_method\u001B[49m\u001B[43m(\u001B[49m\n\u001B[0;32m   2205\u001B[0m \u001B[43m            \u001B[49m\u001B[43mfilename\u001B[49m\u001B[43m,\u001B[49m\n\u001B[0;32m   2206\u001B[0m \u001B[43m            \u001B[49m\u001B[43mfacecolor\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mfacecolor\u001B[49m\u001B[43m,\u001B[49m\n\u001B[0;32m   2207\u001B[0m \u001B[43m            \u001B[49m\u001B[43medgecolor\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43medgecolor\u001B[49m\u001B[43m,\u001B[49m\n\u001B[0;32m   2208\u001B[0m \u001B[43m            \u001B[49m\u001B[43morientation\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43morientation\u001B[49m\u001B[43m,\u001B[49m\n\u001B[0;32m   2209\u001B[0m \u001B[43m            \u001B[49m\u001B[43mbbox_inches_restore\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43m_bbox_inches_restore\u001B[49m\u001B[43m,\u001B[49m\n\u001B[0;32m   2210\u001B[0m \u001B[43m            \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m   2211\u001B[0m \u001B[38;5;28;01mfinally\u001B[39;00m:\n\u001B[0;32m   2212\u001B[0m     \u001B[38;5;28;01mif\u001B[39;00m bbox_inches \u001B[38;5;129;01mand\u001B[39;00m restore_bbox:\n",
      "File \u001B[1;32mD:\\python\\Lib\\site-packages\\matplotlib\\backend_bases.py:2054\u001B[0m, in \u001B[0;36mFigureCanvasBase._switch_canvas_and_return_print_method.<locals>.<lambda>\u001B[1;34m(*args, **kwargs)\u001B[0m\n\u001B[0;32m   2050\u001B[0m     optional_kws \u001B[38;5;241m=\u001B[39m {  \u001B[38;5;66;03m# Passed by print_figure for other renderers.\u001B[39;00m\n\u001B[0;32m   2051\u001B[0m         \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mdpi\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mfacecolor\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124medgecolor\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124morientation\u001B[39m\u001B[38;5;124m\"\u001B[39m,\n\u001B[0;32m   2052\u001B[0m         \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mbbox_inches_restore\u001B[39m\u001B[38;5;124m\"\u001B[39m}\n\u001B[0;32m   2053\u001B[0m     skip \u001B[38;5;241m=\u001B[39m optional_kws \u001B[38;5;241m-\u001B[39m {\u001B[38;5;241m*\u001B[39minspect\u001B[38;5;241m.\u001B[39msignature(meth)\u001B[38;5;241m.\u001B[39mparameters}\n\u001B[1;32m-> 2054\u001B[0m     print_method \u001B[38;5;241m=\u001B[39m functools\u001B[38;5;241m.\u001B[39mwraps(meth)(\u001B[38;5;28;01mlambda\u001B[39;00m \u001B[38;5;241m*\u001B[39margs, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mkwargs: \u001B[43mmeth\u001B[49m\u001B[43m(\u001B[49m\n\u001B[0;32m   2055\u001B[0m \u001B[43m        \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43margs\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43m{\u001B[49m\u001B[43mk\u001B[49m\u001B[43m:\u001B[49m\u001B[43m \u001B[49m\u001B[43mv\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;28;43;01mfor\u001B[39;49;00m\u001B[43m \u001B[49m\u001B[43mk\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mv\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;129;43;01min\u001B[39;49;00m\u001B[43m \u001B[49m\u001B[43mkwargs\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mitems\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;28;43;01mif\u001B[39;49;00m\u001B[43m \u001B[49m\u001B[43mk\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;129;43;01mnot\u001B[39;49;00m\u001B[43m \u001B[49m\u001B[38;5;129;43;01min\u001B[39;49;00m\u001B[43m \u001B[49m\u001B[43mskip\u001B[49m\u001B[43m}\u001B[49m\u001B[43m)\u001B[49m)\n\u001B[0;32m   2056\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:  \u001B[38;5;66;03m# Let third-parties do as they see fit.\u001B[39;00m\n\u001B[0;32m   2057\u001B[0m     print_method \u001B[38;5;241m=\u001B[39m meth\n",
      "File \u001B[1;32mD:\\python\\Lib\\site-packages\\matplotlib\\backends\\backend_agg.py:496\u001B[0m, in \u001B[0;36mFigureCanvasAgg.print_png\u001B[1;34m(self, filename_or_obj, metadata, pil_kwargs)\u001B[0m\n\u001B[0;32m    449\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21mprint_png\u001B[39m(\u001B[38;5;28mself\u001B[39m, filename_or_obj, \u001B[38;5;241m*\u001B[39m, metadata\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mNone\u001B[39;00m, pil_kwargs\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mNone\u001B[39;00m):\n\u001B[0;32m    450\u001B[0m \u001B[38;5;250m    \u001B[39m\u001B[38;5;124;03m\"\"\"\u001B[39;00m\n\u001B[0;32m    451\u001B[0m \u001B[38;5;124;03m    Write the figure to a PNG file.\u001B[39;00m\n\u001B[0;32m    452\u001B[0m \n\u001B[1;32m   (...)\u001B[0m\n\u001B[0;32m    494\u001B[0m \u001B[38;5;124;03m        *metadata*, including the default 'Software' key.\u001B[39;00m\n\u001B[0;32m    495\u001B[0m \u001B[38;5;124;03m    \"\"\"\u001B[39;00m\n\u001B[1;32m--> 496\u001B[0m     \u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m_print_pil\u001B[49m\u001B[43m(\u001B[49m\u001B[43mfilename_or_obj\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;124;43m\"\u001B[39;49m\u001B[38;5;124;43mpng\u001B[39;49m\u001B[38;5;124;43m\"\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mpil_kwargs\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mmetadata\u001B[49m\u001B[43m)\u001B[49m\n",
      "File \u001B[1;32mD:\\python\\Lib\\site-packages\\matplotlib\\backends\\backend_agg.py:444\u001B[0m, in \u001B[0;36mFigureCanvasAgg._print_pil\u001B[1;34m(self, filename_or_obj, fmt, pil_kwargs, metadata)\u001B[0m\n\u001B[0;32m    439\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21m_print_pil\u001B[39m(\u001B[38;5;28mself\u001B[39m, filename_or_obj, fmt, pil_kwargs, metadata\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mNone\u001B[39;00m):\n\u001B[0;32m    440\u001B[0m \u001B[38;5;250m    \u001B[39m\u001B[38;5;124;03m\"\"\"\u001B[39;00m\n\u001B[0;32m    441\u001B[0m \u001B[38;5;124;03m    Draw the canvas, then save it using `.image.imsave` (to which\u001B[39;00m\n\u001B[0;32m    442\u001B[0m \u001B[38;5;124;03m    *pil_kwargs* and *metadata* are forwarded).\u001B[39;00m\n\u001B[0;32m    443\u001B[0m \u001B[38;5;124;03m    \"\"\"\u001B[39;00m\n\u001B[1;32m--> 444\u001B[0m     \u001B[43mFigureCanvasAgg\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mdraw\u001B[49m\u001B[43m(\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m)\u001B[49m\n\u001B[0;32m    445\u001B[0m     mpl\u001B[38;5;241m.\u001B[39mimage\u001B[38;5;241m.\u001B[39mimsave(\n\u001B[0;32m    446\u001B[0m         filename_or_obj, \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mbuffer_rgba(), \u001B[38;5;28mformat\u001B[39m\u001B[38;5;241m=\u001B[39mfmt, origin\u001B[38;5;241m=\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mupper\u001B[39m\u001B[38;5;124m\"\u001B[39m,\n\u001B[0;32m    447\u001B[0m         dpi\u001B[38;5;241m=\u001B[39m\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mfigure\u001B[38;5;241m.\u001B[39mdpi, metadata\u001B[38;5;241m=\u001B[39mmetadata, pil_kwargs\u001B[38;5;241m=\u001B[39mpil_kwargs)\n",
      "File \u001B[1;32mD:\\python\\Lib\\site-packages\\matplotlib\\backends\\backend_agg.py:387\u001B[0m, in \u001B[0;36mFigureCanvasAgg.draw\u001B[1;34m(self)\u001B[0m\n\u001B[0;32m    384\u001B[0m \u001B[38;5;66;03m# Acquire a lock on the shared font cache.\u001B[39;00m\n\u001B[0;32m    385\u001B[0m \u001B[38;5;28;01mwith\u001B[39;00m (\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mtoolbar\u001B[38;5;241m.\u001B[39m_wait_cursor_for_draw_cm() \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mtoolbar\n\u001B[0;32m    386\u001B[0m       \u001B[38;5;28;01melse\u001B[39;00m nullcontext()):\n\u001B[1;32m--> 387\u001B[0m     \u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mfigure\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mdraw\u001B[49m\u001B[43m(\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mrenderer\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m    388\u001B[0m     \u001B[38;5;66;03m# A GUI class may be need to update a window using this draw, so\u001B[39;00m\n\u001B[0;32m    389\u001B[0m     \u001B[38;5;66;03m# don't forget to call the superclass.\u001B[39;00m\n\u001B[0;32m    390\u001B[0m     \u001B[38;5;28msuper\u001B[39m()\u001B[38;5;241m.\u001B[39mdraw()\n",
      "File \u001B[1;32mD:\\python\\Lib\\site-packages\\matplotlib\\artist.py:95\u001B[0m, in \u001B[0;36m_finalize_rasterization.<locals>.draw_wrapper\u001B[1;34m(artist, renderer, *args, **kwargs)\u001B[0m\n\u001B[0;32m     93\u001B[0m \u001B[38;5;129m@wraps\u001B[39m(draw)\n\u001B[0;32m     94\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21mdraw_wrapper\u001B[39m(artist, renderer, \u001B[38;5;241m*\u001B[39margs, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mkwargs):\n\u001B[1;32m---> 95\u001B[0m     result \u001B[38;5;241m=\u001B[39m \u001B[43mdraw\u001B[49m\u001B[43m(\u001B[49m\u001B[43martist\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mrenderer\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43margs\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m     96\u001B[0m     \u001B[38;5;28;01mif\u001B[39;00m renderer\u001B[38;5;241m.\u001B[39m_rasterizing:\n\u001B[0;32m     97\u001B[0m         renderer\u001B[38;5;241m.\u001B[39mstop_rasterizing()\n",
      "File \u001B[1;32mD:\\python\\Lib\\site-packages\\matplotlib\\artist.py:72\u001B[0m, in \u001B[0;36mallow_rasterization.<locals>.draw_wrapper\u001B[1;34m(artist, renderer)\u001B[0m\n\u001B[0;32m     69\u001B[0m     \u001B[38;5;28;01mif\u001B[39;00m artist\u001B[38;5;241m.\u001B[39mget_agg_filter() \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m:\n\u001B[0;32m     70\u001B[0m         renderer\u001B[38;5;241m.\u001B[39mstart_filter()\n\u001B[1;32m---> 72\u001B[0m     \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mdraw\u001B[49m\u001B[43m(\u001B[49m\u001B[43martist\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mrenderer\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m     73\u001B[0m \u001B[38;5;28;01mfinally\u001B[39;00m:\n\u001B[0;32m     74\u001B[0m     \u001B[38;5;28;01mif\u001B[39;00m artist\u001B[38;5;241m.\u001B[39mget_agg_filter() \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m:\n",
      "File \u001B[1;32mD:\\python\\Lib\\site-packages\\matplotlib\\figure.py:3162\u001B[0m, in \u001B[0;36mFigure.draw\u001B[1;34m(self, renderer)\u001B[0m\n\u001B[0;32m   3159\u001B[0m             \u001B[38;5;66;03m# ValueError can occur when resizing a window.\u001B[39;00m\n\u001B[0;32m   3161\u001B[0m     \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mpatch\u001B[38;5;241m.\u001B[39mdraw(renderer)\n\u001B[1;32m-> 3162\u001B[0m     \u001B[43mmimage\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m_draw_list_compositing_images\u001B[49m\u001B[43m(\u001B[49m\n\u001B[0;32m   3163\u001B[0m \u001B[43m        \u001B[49m\u001B[43mrenderer\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43martists\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43msuppressComposite\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m   3165\u001B[0m     renderer\u001B[38;5;241m.\u001B[39mclose_group(\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mfigure\u001B[39m\u001B[38;5;124m'\u001B[39m)\n\u001B[0;32m   3166\u001B[0m \u001B[38;5;28;01mfinally\u001B[39;00m:\n",
      "File \u001B[1;32mD:\\python\\Lib\\site-packages\\matplotlib\\image.py:132\u001B[0m, in \u001B[0;36m_draw_list_compositing_images\u001B[1;34m(renderer, parent, artists, suppress_composite)\u001B[0m\n\u001B[0;32m    130\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m not_composite \u001B[38;5;129;01mor\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m has_images:\n\u001B[0;32m    131\u001B[0m     \u001B[38;5;28;01mfor\u001B[39;00m a \u001B[38;5;129;01min\u001B[39;00m artists:\n\u001B[1;32m--> 132\u001B[0m         \u001B[43ma\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mdraw\u001B[49m\u001B[43m(\u001B[49m\u001B[43mrenderer\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m    133\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[0;32m    134\u001B[0m     \u001B[38;5;66;03m# Composite any adjacent images together\u001B[39;00m\n\u001B[0;32m    135\u001B[0m     image_group \u001B[38;5;241m=\u001B[39m []\n",
      "File \u001B[1;32mD:\\python\\Lib\\site-packages\\matplotlib\\artist.py:72\u001B[0m, in \u001B[0;36mallow_rasterization.<locals>.draw_wrapper\u001B[1;34m(artist, renderer)\u001B[0m\n\u001B[0;32m     69\u001B[0m     \u001B[38;5;28;01mif\u001B[39;00m artist\u001B[38;5;241m.\u001B[39mget_agg_filter() \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m:\n\u001B[0;32m     70\u001B[0m         renderer\u001B[38;5;241m.\u001B[39mstart_filter()\n\u001B[1;32m---> 72\u001B[0m     \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mdraw\u001B[49m\u001B[43m(\u001B[49m\u001B[43martist\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mrenderer\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m     73\u001B[0m \u001B[38;5;28;01mfinally\u001B[39;00m:\n\u001B[0;32m     74\u001B[0m     \u001B[38;5;28;01mif\u001B[39;00m artist\u001B[38;5;241m.\u001B[39mget_agg_filter() \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m:\n",
      "File \u001B[1;32mD:\\python\\Lib\\site-packages\\matplotlib\\axes\\_base.py:3143\u001B[0m, in \u001B[0;36m_AxesBase.draw\u001B[1;34m(self, renderer)\u001B[0m\n\u001B[0;32m   3140\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m artists_rasterized:\n\u001B[0;32m   3141\u001B[0m     _draw_rasterized(\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mfigure, artists_rasterized, renderer)\n\u001B[1;32m-> 3143\u001B[0m \u001B[43mmimage\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m_draw_list_compositing_images\u001B[49m\u001B[43m(\u001B[49m\n\u001B[0;32m   3144\u001B[0m \u001B[43m    \u001B[49m\u001B[43mrenderer\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43martists\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mfigure\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43msuppressComposite\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m   3146\u001B[0m renderer\u001B[38;5;241m.\u001B[39mclose_group(\u001B[38;5;124m'\u001B[39m\u001B[38;5;124maxes\u001B[39m\u001B[38;5;124m'\u001B[39m)\n\u001B[0;32m   3147\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mstale \u001B[38;5;241m=\u001B[39m \u001B[38;5;28;01mFalse\u001B[39;00m\n",
      "File \u001B[1;32mD:\\python\\Lib\\site-packages\\matplotlib\\image.py:132\u001B[0m, in \u001B[0;36m_draw_list_compositing_images\u001B[1;34m(renderer, parent, artists, suppress_composite)\u001B[0m\n\u001B[0;32m    130\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m not_composite \u001B[38;5;129;01mor\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m has_images:\n\u001B[0;32m    131\u001B[0m     \u001B[38;5;28;01mfor\u001B[39;00m a \u001B[38;5;129;01min\u001B[39;00m artists:\n\u001B[1;32m--> 132\u001B[0m         \u001B[43ma\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mdraw\u001B[49m\u001B[43m(\u001B[49m\u001B[43mrenderer\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m    133\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[0;32m    134\u001B[0m     \u001B[38;5;66;03m# Composite any adjacent images together\u001B[39;00m\n\u001B[0;32m    135\u001B[0m     image_group \u001B[38;5;241m=\u001B[39m []\n",
      "File \u001B[1;32mD:\\python\\Lib\\site-packages\\matplotlib\\artist.py:72\u001B[0m, in \u001B[0;36mallow_rasterization.<locals>.draw_wrapper\u001B[1;34m(artist, renderer)\u001B[0m\n\u001B[0;32m     69\u001B[0m     \u001B[38;5;28;01mif\u001B[39;00m artist\u001B[38;5;241m.\u001B[39mget_agg_filter() \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m:\n\u001B[0;32m     70\u001B[0m         renderer\u001B[38;5;241m.\u001B[39mstart_filter()\n\u001B[1;32m---> 72\u001B[0m     \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mdraw\u001B[49m\u001B[43m(\u001B[49m\u001B[43martist\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mrenderer\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m     73\u001B[0m \u001B[38;5;28;01mfinally\u001B[39;00m:\n\u001B[0;32m     74\u001B[0m     \u001B[38;5;28;01mif\u001B[39;00m artist\u001B[38;5;241m.\u001B[39mget_agg_filter() \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m:\n",
      "File \u001B[1;32mD:\\python\\Lib\\site-packages\\matplotlib\\axis.py:1426\u001B[0m, in \u001B[0;36mAxis.draw\u001B[1;34m(self, renderer)\u001B[0m\n\u001B[0;32m   1423\u001B[0m tlb1, tlb2 \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_get_ticklabel_bboxes(ticks_to_draw, renderer)\n\u001B[0;32m   1425\u001B[0m \u001B[38;5;28;01mfor\u001B[39;00m tick \u001B[38;5;129;01min\u001B[39;00m ticks_to_draw:\n\u001B[1;32m-> 1426\u001B[0m     \u001B[43mtick\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mdraw\u001B[49m\u001B[43m(\u001B[49m\u001B[43mrenderer\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m   1428\u001B[0m \u001B[38;5;66;03m# Shift label away from axes to avoid overlapping ticklabels.\u001B[39;00m\n\u001B[0;32m   1429\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_update_label_position(renderer)\n",
      "File \u001B[1;32mD:\\python\\Lib\\site-packages\\matplotlib\\artist.py:72\u001B[0m, in \u001B[0;36mallow_rasterization.<locals>.draw_wrapper\u001B[1;34m(artist, renderer)\u001B[0m\n\u001B[0;32m     69\u001B[0m     \u001B[38;5;28;01mif\u001B[39;00m artist\u001B[38;5;241m.\u001B[39mget_agg_filter() \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m:\n\u001B[0;32m     70\u001B[0m         renderer\u001B[38;5;241m.\u001B[39mstart_filter()\n\u001B[1;32m---> 72\u001B[0m     \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mdraw\u001B[49m\u001B[43m(\u001B[49m\u001B[43martist\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mrenderer\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m     73\u001B[0m \u001B[38;5;28;01mfinally\u001B[39;00m:\n\u001B[0;32m     74\u001B[0m     \u001B[38;5;28;01mif\u001B[39;00m artist\u001B[38;5;241m.\u001B[39mget_agg_filter() \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m:\n",
      "File \u001B[1;32mD:\\python\\Lib\\site-packages\\matplotlib\\axis.py:280\u001B[0m, in \u001B[0;36mTick.draw\u001B[1;34m(self, renderer)\u001B[0m\n\u001B[0;32m    277\u001B[0m renderer\u001B[38;5;241m.\u001B[39mopen_group(\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m\u001B[38;5;18m__name__\u001B[39m, gid\u001B[38;5;241m=\u001B[39m\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mget_gid())\n\u001B[0;32m    278\u001B[0m \u001B[38;5;28;01mfor\u001B[39;00m artist \u001B[38;5;129;01min\u001B[39;00m [\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mgridline, \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mtick1line, \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mtick2line,\n\u001B[0;32m    279\u001B[0m                \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mlabel1, \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mlabel2]:\n\u001B[1;32m--> 280\u001B[0m     \u001B[43martist\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mdraw\u001B[49m\u001B[43m(\u001B[49m\u001B[43mrenderer\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m    281\u001B[0m renderer\u001B[38;5;241m.\u001B[39mclose_group(\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m\u001B[38;5;18m__name__\u001B[39m)\n\u001B[0;32m    282\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mstale \u001B[38;5;241m=\u001B[39m \u001B[38;5;28;01mFalse\u001B[39;00m\n",
      "File \u001B[1;32mD:\\python\\Lib\\site-packages\\matplotlib\\artist.py:72\u001B[0m, in \u001B[0;36mallow_rasterization.<locals>.draw_wrapper\u001B[1;34m(artist, renderer)\u001B[0m\n\u001B[0;32m     69\u001B[0m     \u001B[38;5;28;01mif\u001B[39;00m artist\u001B[38;5;241m.\u001B[39mget_agg_filter() \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m:\n\u001B[0;32m     70\u001B[0m         renderer\u001B[38;5;241m.\u001B[39mstart_filter()\n\u001B[1;32m---> 72\u001B[0m     \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mdraw\u001B[49m\u001B[43m(\u001B[49m\u001B[43martist\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mrenderer\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m     73\u001B[0m \u001B[38;5;28;01mfinally\u001B[39;00m:\n\u001B[0;32m     74\u001B[0m     \u001B[38;5;28;01mif\u001B[39;00m artist\u001B[38;5;241m.\u001B[39mget_agg_filter() \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m:\n",
      "File \u001B[1;32mD:\\python\\Lib\\site-packages\\matplotlib\\text.py:751\u001B[0m, in \u001B[0;36mText.draw\u001B[1;34m(self, renderer)\u001B[0m\n\u001B[0;32m    748\u001B[0m renderer\u001B[38;5;241m.\u001B[39mopen_group(\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mtext\u001B[39m\u001B[38;5;124m'\u001B[39m, \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mget_gid())\n\u001B[0;32m    750\u001B[0m \u001B[38;5;28;01mwith\u001B[39;00m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_cm_set(text\u001B[38;5;241m=\u001B[39m\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_get_wrapped_text()):\n\u001B[1;32m--> 751\u001B[0m     bbox, info, descent \u001B[38;5;241m=\u001B[39m \u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m_get_layout\u001B[49m\u001B[43m(\u001B[49m\u001B[43mrenderer\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m    752\u001B[0m     trans \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mget_transform()\n\u001B[0;32m    754\u001B[0m     \u001B[38;5;66;03m# don't use self.get_position here, which refers to text\u001B[39;00m\n\u001B[0;32m    755\u001B[0m     \u001B[38;5;66;03m# position in Text:\u001B[39;00m\n",
      "File \u001B[1;32mD:\\python\\Lib\\site-packages\\matplotlib\\text.py:381\u001B[0m, in \u001B[0;36mText._get_layout\u001B[1;34m(self, renderer)\u001B[0m\n\u001B[0;32m    379\u001B[0m clean_line, ismath \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_preprocess_math(line)\n\u001B[0;32m    380\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m clean_line:\n\u001B[1;32m--> 381\u001B[0m     w, h, d \u001B[38;5;241m=\u001B[39m \u001B[43m_get_text_metrics_with_cache\u001B[49m\u001B[43m(\u001B[49m\n\u001B[0;32m    382\u001B[0m \u001B[43m        \u001B[49m\u001B[43mrenderer\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mclean_line\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m_fontproperties\u001B[49m\u001B[43m,\u001B[49m\n\u001B[0;32m    383\u001B[0m \u001B[43m        \u001B[49m\u001B[43mismath\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mismath\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mdpi\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mfigure\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mdpi\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m    384\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[0;32m    385\u001B[0m     w \u001B[38;5;241m=\u001B[39m h \u001B[38;5;241m=\u001B[39m d \u001B[38;5;241m=\u001B[39m \u001B[38;5;241m0\u001B[39m\n",
      "File \u001B[1;32mD:\\python\\Lib\\site-packages\\matplotlib\\text.py:69\u001B[0m, in \u001B[0;36m_get_text_metrics_with_cache\u001B[1;34m(renderer, text, fontprop, ismath, dpi)\u001B[0m\n\u001B[0;32m     66\u001B[0m \u001B[38;5;250m\u001B[39m\u001B[38;5;124;03m\"\"\"Call ``renderer.get_text_width_height_descent``, caching the results.\"\"\"\u001B[39;00m\n\u001B[0;32m     67\u001B[0m \u001B[38;5;66;03m# Cached based on a copy of fontprop so that later in-place mutations of\u001B[39;00m\n\u001B[0;32m     68\u001B[0m \u001B[38;5;66;03m# the passed-in argument do not mess up the cache.\u001B[39;00m\n\u001B[1;32m---> 69\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43m_get_text_metrics_with_cache_impl\u001B[49m\u001B[43m(\u001B[49m\n\u001B[0;32m     70\u001B[0m \u001B[43m    \u001B[49m\u001B[43mweakref\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mref\u001B[49m\u001B[43m(\u001B[49m\u001B[43mrenderer\u001B[49m\u001B[43m)\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mtext\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mfontprop\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mcopy\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mismath\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mdpi\u001B[49m\u001B[43m)\u001B[49m\n",
      "File \u001B[1;32mD:\\python\\Lib\\site-packages\\matplotlib\\text.py:77\u001B[0m, in \u001B[0;36m_get_text_metrics_with_cache_impl\u001B[1;34m(renderer_ref, text, fontprop, ismath, dpi)\u001B[0m\n\u001B[0;32m     73\u001B[0m \u001B[38;5;129m@functools\u001B[39m\u001B[38;5;241m.\u001B[39mlru_cache(\u001B[38;5;241m4096\u001B[39m)\n\u001B[0;32m     74\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21m_get_text_metrics_with_cache_impl\u001B[39m(\n\u001B[0;32m     75\u001B[0m         renderer_ref, text, fontprop, ismath, dpi):\n\u001B[0;32m     76\u001B[0m     \u001B[38;5;66;03m# dpi is unused, but participates in cache invalidation (via the renderer).\u001B[39;00m\n\u001B[1;32m---> 77\u001B[0m     \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mrenderer_ref\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mget_text_width_height_descent\u001B[49m\u001B[43m(\u001B[49m\u001B[43mtext\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mfontprop\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mismath\u001B[49m\u001B[43m)\u001B[49m\n",
      "File \u001B[1;32mD:\\python\\Lib\\site-packages\\matplotlib\\backends\\backend_agg.py:220\u001B[0m, in \u001B[0;36mRendererAgg.get_text_width_height_descent\u001B[1;34m(self, s, prop, ismath)\u001B[0m\n\u001B[0;32m    217\u001B[0m     \u001B[38;5;28;01mreturn\u001B[39;00m width, height, descent\n\u001B[0;32m    219\u001B[0m font \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_prepare_font(prop)\n\u001B[1;32m--> 220\u001B[0m \u001B[43mfont\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mset_text\u001B[49m\u001B[43m(\u001B[49m\u001B[43ms\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m0.0\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mflags\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mget_hinting_flag\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m    221\u001B[0m w, h \u001B[38;5;241m=\u001B[39m font\u001B[38;5;241m.\u001B[39mget_width_height()  \u001B[38;5;66;03m# width and height of unrotated string\u001B[39;00m\n\u001B[0;32m    222\u001B[0m d \u001B[38;5;241m=\u001B[39m font\u001B[38;5;241m.\u001B[39mget_descent()\n",
      "\u001B[1;31mKeyboardInterrupt\u001B[0m: "
     ]
    }
   ],
   "source": [
    "time = [131, 98, 125, 131, 124, 139, 131, 117, 128, 108, 135, 138, 131, 102107, 114,\n",
    "        119, 128, 121, 142, 127, 130, 124, 101, 110, 116, 117, 110, 128, 128, 115, 99,\n",
    "        136, 126, 134, 95, 138, 117, 111, 78, 132, 124, 113, 150, 110, 117, 86, 95, 144,\n",
    "        105, 126, 130, 126, 130, 126, 116, 123, 106, 112, 138, 123, 86, 101, 99, 136, 123, 117, 119, 105, 137, 123, 128,\n",
    "        125, 104, 109, 134, 125, 127, 105, 120, 107, 129, 116,\n",
    "        108, 132, 103, 136, 118, 102, 120, 114, 105, 115, 132, 145, 119, 121, 112, 139, 125,\n",
    "        138, 109, 132, 134, 156, 106, 117, 127, 144, 139, 139, 119, 140, 83, 110, 102, 123,\n",
    "        107, 143, 115, 136, 118, 139, 123, 112, 118, 125, 109, 119, 133, 112, 114, 122, 109,\n",
    "        106, 123, 116, 131, 127, 115, 118, 112, 135, 115, 146, 137, 116, 103, 144, 83, 123,\n",
    "        111, 110, 111, 100, 154, 136, 100, 118, 119, 133, 134, 106, 129, 126, 110, 111, 109,\n",
    "        141, 120, 117, 106, 149, 122, 122, 110, 118, 127, 121, 114, 125, 126, 114, 140, 103, 130, 141, 117, 106, 114,\n",
    "        121, 114, 133, 137, 92, 121, 112, 146, 97, 137, 105, 98,\n",
    "        117, 112, 81, 97, 139, 113, 134, 106, 144, 110, 137, 137, 111, 104, 117, 100, 111,\n",
    "        101, 110, 105, 129, 137, 112, 120, 113, 133, 112, 83, 94, 146, 133,\n",
    "        114, 131, 116,\n",
    "        111, 84, 137, 115, 122, 106, 144, 109, 123, 116, 111, 111, 133, 150]\n",
    "my_font = font_manager.FontProperties(fname='C:\\\\Windows\\\\Fonts\\\\STSONG.TTF', size=18)  #2）创建画布\n",
    "plt.figure(figsize=(20, 8), dpi=100)  # 3）绘制直方图# 设置组距\n",
    "distance = 2\n",
    "# 计算组数\n",
    "group_num = int((max(time) - min(time)) / distance)  # 绘制直方图plt.hist(time, bins=group_num)\n",
    "# 修改 x 轴刻度显示\n",
    "plt.xticks(range(min(time), max(time))[::2])\n",
    "# 添加网格显示\n",
    "plt.grid(linestyle=\"--\", alpha=0.5)\n",
    "#添 加 x, y 轴 描 述 信 息\n",
    "plt.xlabel(\"电影时长大小\", fontproperties=my_font)\n",
    "plt.ylabel(\"电影的数据量\", fontproperties=my_font)\n",
    "# 4）显示图像\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-07-11T13:33:35.812492200Z",
     "start_time": "2024-07-11T13:31:32.654237600Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import matplotlib\n",
    "\n",
    "label_list = [\"第一部分\", \"第二部分\", \"第三部分\"]  # 各部分标签\n",
    "size = [55, 35, 10] # 各部分大小\n",
    "color = [\"red\", \"green\", \"blue\"]  # 各部分颜色\n",
    "explode = [0, 0.05, 0]  # 各部分突出值\n",
    "\"\"\" 绘 制 饼 图\n",
    "explode： 设 置 各 部 分 突 出\n",
    "label: 设 置 各 部 分 标 签\n",
    "labeldistance:设置标签文本距圆心位置，1.1 表示 1.1 倍半径autopct： 设 置 圆 里 面 文 本\n",
    "shadow：设置是否有阴影\n",
    "startangle：起始角度，默认从 0 开始逆时针转\n",
    "pctdistance：设置圆内文本距圆心距离返回值\n",
    "l_text：圆内部文本，\n",
    "matplotlib.text.Text object\n",
    "p_text：圆外部文本\"\"\"\n",
    "matplotlib.rcParams['font.sans-serif'] = ['SimHei']\n",
    "patches, l_text, p_text = plt.pie(size, explode=explode, colors=color, labels=label_list, labeldistance=1.1,\n",
    "                                  autopct=\"%1.1f%%\", shadow=True, startangle=90, pctdistance=0.6)\n",
    "plt.axis(\"equal\")  # 设置横轴和纵轴大小相等，这样饼才是圆的\n",
    "plt.legend()\n",
    "plt.show()"
   ],
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    }
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   "execution_count": null,
   "outputs": [],
   "source": [],
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    "collapsed": false
   }
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